Image source identification with known post-processed based on convolutional neural network

作者：

Highlights：

• The tampering operations are divided into influential and non-influential operations.

• The images altered by non-influential and influential operations are equal to images that undergone single influential operation.

• An image source identification network containing a multi-kernel noise extractor is designed.

• The experimental results show that our method can obtain better performance.

摘要

•The tampering operations are divided into influential and non-influential operations.•The images altered by non-influential and influential operations are equal to images that undergone single influential operation.•An image source identification network containing a multi-kernel noise extractor is designed.•The experimental results show that our method can obtain better performance.

论文关键词：Image source identification,PRNU,Tampered image,Operation chain,Convolutional neural network

论文评审过程：Received 26 October 2019, Revised 25 June 2021, Accepted 10 August 2021, Available online 17 August 2021, Version of Record 27 August 2021.

论文官网地址：https://doi.org/10.1016/j.image.2021.116438